IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i17p4710-d262069.html
   My bibliography  Save this article

Uptake of Climate-Smart Agricultural Technologies and Practices: Actual and Potential Adoption Rates in the Climate-Smart Village Site of Mali

Author

Listed:
  • Mathieu Ouédraogo

    (The CGIAR Program on Climate Change, Agriculture and Food Security (CCAFS), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), West & Central Africa Regional Office, BP 320 Bamako, Mali)

  • Prosper Houessionon

    (The CGIAR Program on Climate Change, Agriculture and Food Security (CCAFS), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), West & Central Africa Regional Office, BP 320 Bamako, Mali)

  • Robert B. Zougmoré

    (The CGIAR Program on Climate Change, Agriculture and Food Security (CCAFS), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), West & Central Africa Regional Office, BP 320 Bamako, Mali)

  • Samuel Tetteh Partey

    (The CGIAR Program on Climate Change, Agriculture and Food Security (CCAFS), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), West & Central Africa Regional Office, BP 320 Bamako, Mali)

Abstract

Understanding the level of adoption of Climate-Smart Agriculture (CSA) technologies and practices and its drivers is needed to spur large-scale uptake of CSA in West Africa. This paper used the Average Treatment Effect framework to derive consistent parametric estimators of the potential adoption rates of eight CSA technologies and practices in the Climate-Smart Village (CSV) site of Mali. A total of 300 household heads were randomly selected within the CSV site for data collection. Results showed significant differences in the observed and potential adoption rates of the CSA technologies and practices (drought tolerant crop varieties, micro-dosing, organic manure, intercropping, contour farming, farmer managed natural regeneration, agroforestry and climate information service). The most adopted technology was the organic manure (89%) while the least adopted was the intercropping (21%). The observed adoption rate varied from 39% to 77% according to the CSA options while the potential adoption rates of the technologies and practices ranged from 55% to 81%. This implies an adoption gap of 2% to 16% due to the incomplete diffusion (lack of awareness) of CSA technologies and practices which must be addressed by carrying out more actions to disseminate these technologies in the CSV. Results showed that education, number of workers in the household, access to subsidies, and training have a positive effect on the adoption of most of the CSA technologies and practices. The adoption of drought tolerant varieties and micro-dosing are positively correlated with access to subsidies and training. The study suggests that efforts should be focused concomitantly on the diffusion of CSA options as well as the lifting of their adoption barriers.

Suggested Citation

  • Mathieu Ouédraogo & Prosper Houessionon & Robert B. Zougmoré & Samuel Tetteh Partey, 2019. "Uptake of Climate-Smart Agricultural Technologies and Practices: Actual and Potential Adoption Rates in the Climate-Smart Village Site of Mali," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4710-:d:262069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/17/4710/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/17/4710/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ouédraogo, Mathieu & Dakouo, Dona, 2017. "Evaluation de l'adoption des variétés de riz NERICA dans l'Ouest du Burkina Faso," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(1), March.
    2. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    3. Amsalu, Aklilu & de Graaff, Jan, 2007. "Determinants of adoption and continued use of stone terraces for soil and water conservation in an Ethiopian highland watershed," Ecological Economics, Elsevier, vol. 61(2-3), pages 294-302, March.
    4. Andrieu, N. & Sogoba, B. & Zougmore, R. & Howland, F. & Samake, O. & Bonilla-Findji, O. & Lizarazo, M. & Nowak, A. & Dembele, C. & Corner-Dolloff, C., 2017. "Prioritizing investments for climate-smart agriculture: Lessons learned from Mali," Agricultural Systems, Elsevier, vol. 154(C), pages 13-24.
    5. Faße, Anja & Grote, Ulrike, 2013. "The economic relevance of sustainable agroforestry practices — An empirical analysis from Tanzania," Ecological Economics, Elsevier, vol. 94(C), pages 86-96.
    6. Nkomoki, William & Bavorová, Miroslava & Banout, Jan, 2018. "Adoption of sustainable agricultural practices and food security threats: Effects of land tenure in Zambia," Land Use Policy, Elsevier, vol. 78(C), pages 532-538.
    7. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    8. Dandedjrohoun, Lidia, 2012. "Determinants of diffusion and adoption of improved technology for rice parboiling in Benin," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 93(02), pages 171-191, June.
    9. Bronwyn H. Hall & Beethika Khan, 2003. "Adoption of New Technology," NBER Working Papers 9730, National Bureau of Economic Research, Inc.
    10. Ward, Patrick S. & Bell, Andrew R. & Droppelmann, Klaus & Benton, Tim G., 2018. "Early adoption of conservation agriculture practices: Understanding partial compliance in programs with multiple adoption decisions," Land Use Policy, Elsevier, vol. 70(C), pages 27-37.
    11. Mwongera, Caroline & Shikuku, Kelvin M. & Twyman, Jennifer & Läderach, Peter & Ampaire, Edidah & Van Asten, Piet & Twomlow, Steve & Winowiecki, Leigh A., 2017. "Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies," Agricultural Systems, Elsevier, vol. 151(C), pages 192-203.
    12. Diagne, Aliou, 2010. "Technological change in smallholder agriculture: Bridging the adoption gap by understanding its source," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 5(1), pages 1-26, September.
    13. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    14. Dandedjrohoun, Lidia & Diagne, Aliou & Biaou, Gauthier & N'Cho, Simon & Midingoyi, Soul-Kifouly, 2012. "Determinants of diffusion and adoption of improved technology for rice parboiling in Benin," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 93(2).
    15. Jalloh, Abdulai & Nelson, Gerald C. & Thomas, Timothy S. & Zougmoré, Robert & Roy-Macauley, Harold, 2013. "West african agriculture and climate change: A comprehensive analysis:," Issue briefs 75, International Food Policy Research Institute (IFPRI).
    16. Miguel A. Altieri & Clara I. Nicholls, 2017. "The adaptation and mitigation potential of traditional agriculture in a changing climate," Climatic Change, Springer, vol. 140(1), pages 33-45, January.
    17. Holden, Stein T. & Fisher, Monica & Katengeza, Samson P. & Thierfelder, Christian, 2018. "Can lead farmers reveal the adoption potential of conservation agriculture? The case of Malawi," Land Use Policy, Elsevier, vol. 76(C), pages 113-123.
    18. Sileshi, Gudeta W. & Akinnifesi, Festus K. & Ajayi, Oluyede C. & Muys, Bart, 2011. "Integration of legume trees in maize-based cropping systems improves rain use efficiency and yield stability under rain-fed agriculture," Agricultural Water Management, Elsevier, vol. 98(9), pages 1364-1372, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Seydou Zakari & Germaine Ibro & Bokar Moussa & Tahirou Abdoulaye, 2022. "Adaptation Strategies to Climate Change and Impacts on Household Income and Food Security: Evidence from Sahelian Region of Niger," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    2. Victor O. Abegunde & Ajuruchukwu Obi, 2022. "The Role and Perspective of Climate Smart Agriculture in Africa: A Scientific Review," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    3. Penda Sissoko & Sékou Sala Guindo & Sadio Togola & Bakary Désiré Dembélé & Lars Kåre Grimsby & Jens B. Aune, 2023. "Effect of Adoption of Climate-Smart-Agriculture Technologies on Cereal Production, Food Security and Food Diversity in Central Mali," Agriculture, MDPI, vol. 13(6), pages 1-15, June.
    4. Kandel, Matt & Anghileri, Daniela & Alare, Rahinatu S. & Lovett, Peter N. & Agaba, Genevieve & Addoah, Thomas & Schreckenberg, Kate, 2022. "Farmers’ perspectives and context are key for the success and sustainability of farmer-managed natural regeneration (FMNR) in northeastern Ghana," World Development, Elsevier, vol. 158(C).
    5. Batizi Serote & Salmina Mokgehle & Christian Du Plooy & Sylvester Mpandeli & Luxon Nhamo & Grany Senyolo, 2021. "Factors Influencing the Adoption of Climate-Smart Irrigation Technologies for Sustainable Crop Productivity by Smallholder Farmers in Arid Areas of South Africa," Agriculture, MDPI, vol. 11(12), pages 1-17, December.
    6. Mohamed Rafik Noor Mohamed Qureshi & Ali Saeed Almuflih & Janpriy Sharma & Mohit Tyagi & Shubhendu Singh & Naif Almakayeel, 2022. "Assessment of the Climate-Smart Agriculture Interventions towards the Avenues of Sustainable Production–Consumption," Sustainability, MDPI, vol. 14(14), pages 1-24, July.
    7. Mgomezulu, Wisdom Richard & Machira, Kennedy & Edriss, Abdi-Khalil & Pangapanga-Phiri, Innocent, 2023. "Modelling farmers’ adoption decisions of sustainable agricultural practices under varying agro-ecological conditions: A new perspective," Innovation and Green Development, Elsevier, vol. 2(1).
    8. Bola Amoke Awotide & Adebayo Ogunniyi & Kehinde Oluseyi Olagunju & Lateef Olalekan Bello & Amadou Youssouf Coulibaly & Alexander Nimo Wiredu & Bourémo Kone & Aly Ahamadou & Victor Manyong & Tahirou Ab, 2022. "Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali," Agriculture, MDPI, vol. 12(11), pages 1-16, November.
    9. Francis Sena Nuvey & Adolphina Addo-Lartey & Priscillia Awo Nortey & Kennedy Kwasi Addo & Bassirou Bonfoh, 2021. "Coping with Adversity: Resilience Dynamics of Livestock Farmers in Two Agroecological Zones of Ghana," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    10. Fadjry Djufry & Suci Wulandari & Renato Villano, 2022. "Climate Smart Agriculture Implementation on Coffee Smallholders in Indonesia and Strategy to Accelerate," Land, MDPI, vol. 11(7), pages 1-21, July.
    11. Robert B. Zougmoré & Peter Läderach & Bruce M. Campbell, 2021. "Transforming Food Systems in Africa under Climate Change Pressure: Role of Climate-Smart Agriculture," Sustainability, MDPI, vol. 13(8), pages 1-17, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lidia Dandedjrohoun & Aliou Diagne & Gauthier Biaou & Simon N’cho & Soul-Kifouly Midingoyi, 2012. "Determinants of diffusion and adoption of improved technology for rice parboiling in Benin," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 93(2), pages 171-191.
    2. Cheteni, Priviledge & Mushunje, Abbyssinia & Taruvinga, Amon, 2014. "Barriers and Incentives to Potential Adoption of Biofuels Crops by Smallholder Farmers in the Eastern Cape Province, South Africa," MPRA Paper 59029, University Library of Munich, Germany.
    3. Lidia Dandedjrohoun & Aliou Diagne & Gauthier Biaou & Simon N'Cho & Soul-Kifouly Midingoyi, 2012. "Determinants of diffusion and adoption of improved technology for rice parboiling in Benin," Post-Print hal-00939350, HAL.
    4. Dandedjrohoun, Lidia & Diagne, Aliou & Biaou, Gauthier & N'Cho, Simon & Midingoyi, Soul-Kifouly, 2012. "Determinants of diffusion and adoption of improved technology for rice parboiling in Benin," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 93(2).
    5. Dontsop Nguezet, Paul Martin & Diagne, Aliou & Okoruwa, Victor O. & Ojehomon, Vivian E.T., 2012. "Estimation of Actual and Potential Adoption Rates and Determinants of NERICA Rice Varieties in Nigeria," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126069, International Association of Agricultural Economists.
    6. Tschopp, Maurice & Ceddia, M. Graziano & Inguaggiato, Carla & Bardsley, Nicholas O. & Hernández, Hernán, 2020. "Understanding the adoption of sustainable silvopastoral practices in Northern Argentina: What is the role of land tenure?," Land Use Policy, Elsevier, vol. 99(C).
    7. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    8. Issahaku, Gazali & Abdulai, Awudu, "undated". "Adaptation to Climate Change and its influence on Household Welfare in Ghana," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259938, Agricultural and Applied Economics Association.
    9. Aliou Diagne & Steven Glover & Ben Groom & Jonathan Phillips, 2012. "Africa's Green Revolution? The determinants of the adoption of NERICAs in West Africa," Working Papers 174, Department of Economics, SOAS University of London, UK.
    10. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    11. Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
    12. Cheteni, Priviledge, 2016. "Smallholder farmers’ awareness of biofuel crops in the Eastern Cape Province, South Africa," MPRA Paper 77356, University Library of Munich, Germany.
    13. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
    14. Mohamed Ghali & Maha Ben Jaballah & Nejla Ben Arfa & Annie Sigwalt, 2022. "Analysis of factors that influence adoption of agroecological practices in viticulture," Review of Agricultural, Food and Environmental Studies, Springer, vol. 103(3), pages 179-209, September.
    15. Bedi, Shaibu Mellon & Azzarri, Carlo & Kotu, Bekele Hundi & Kornher, Lukas, 2021. "Scaling-up Agricultural Innovations: Who Should be Targeted?," 2021 Conference, August 17-31, 2021, Virtual 315267, International Association of Agricultural Economists.
    16. Franklin Simtowe & Paswel Marenya & Emily Amondo & Mosisa Worku & Dil Bahadur Rahut & Olaf Erenstein, 2019. "Heterogeneous seed access and information exposure: implications for the adoption of drought-tolerant maize varieties in Uganda," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-23, December.
    17. Ferreira, Maria & de Grip, Andries & van der Velden, Rolf, 2018. "Does informal learning at work differ between temporary and permanent workers? Evidence from 20 OECD countries," Labour Economics, Elsevier, vol. 55(C), pages 18-40.
    18. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    19. Michael Christian Lehman, 2014. "Long-Run Effects Of Conditional Cash Transfers," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 223, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    20. Inkoom, Emmanuel Wisgtos & Dadzie, Samuel Kwesi Ndzebah & Ndebugri, Joseph, 2020. "Promoting Improved Agricultural Technologies to Increase Smallholder Farm Production Efficiency: Ghanaian Study of Cassava Farmers," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 8(3), July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4710-:d:262069. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.